loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
loaded library: loaded library: loaded library: loaded library: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1

/usr/lib/x86_64-linux-gnu/libibverbs.so.1

/usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
------------------------ arguments ------------------------
  batches_per_epoch ............................... 312
  channel_last .................................... True
  ddp ............................................. False
  exit_num ........................................ 300
  fuse_bn_add_relu ................................ True
  fuse_bn_relu .................................... True
  gpu_stat_file ................................... None
  grad_clipping ................................... 0.0
  graph ........................................... True
  label_smoothing ................................. 0.1
  learning_rate ................................... 4.096
  legacy_init ..................................... False
  load_path ....................................... None
  lr_decay_type ................................... cosine
  metric_local .................................... True
  metric_train_acc ................................ True
  momentum ........................................ 0.875
  nccl_fusion_max_ops ............................. 24
  nccl_fusion_threshold_mb ........................ 16
  num_classes ..................................... 1000
  num_devices_per_node ............................ 8
  num_epochs ...................................... 1
  num_nodes ....................................... 1
  ofrecord_part_num ............................... 256
  ofrecord_path ................................... /dataset/79846248
  print_interval .................................. 100
  print_timestamp ................................. False
  samples_per_epoch ............................... 1281167
  save_init ....................................... False
  save_path ....................................... None
  scale_grad ...................................... True
  skip_eval ....................................... True
  synthetic_data .................................. False
  total_batches ................................... -1
  train_batch_size ................................ 512
  train_global_batch_size ......................... 4096
  use_fp16 ........................................ True
  use_gpu_decode .................................. True
  val_batch_size .................................. 50
  val_batches_per_epoch ........................... 125
  val_global_batch_size ........................... 400
  val_samples_per_epoch ........................... 50000
  warmup_epochs ................................... 5
  weight_decay .................................... 3.0517578125e-05
  zero_init_residual .............................. True
-------------------- end of arguments ---------------------
***** Model Init *****
***** Model Init Finish, time escapled: 2.96926 s *****
[rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86726, top1: 0.00070, throughput: 421.63 | 2022-05-14 02:03:02.434
[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86739, top1: 0.00094, throughput: 421.63 | 2022-05-14 02:03:02.434
[rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86719, top1: 0.00086, throughput: 421.66 | 2022-05-14 02:03:02.434
[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86712, top1: 0.00082, throughput: 421.63 | 2022-05-14 02:03:02.435
[rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86711, top1: 0.00076, throughput: 421.65 | 2022-05-14 02:03:02.435
[rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86714, top1: 0.00102, throughput: 421.62 | 2022-05-14 02:03:02.435
[rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86730, top1: 0.00096, throughput: 421.63 | 2022-05-14 02:03:02.434
[rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86727, top1: 0.00068, throughput: 421.64 | 2022-05-14 02:03:02.437
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/14 02:03:02.672, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7791 MiB, 24719 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/14 02:03:02.674, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7791 MiB, 24719 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/14 02:03:02.679, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/14 02:03:02.680, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/05/14 02:03:02.679, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7791 MiB, 24719 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/14 02:03:02.681, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7791 MiB, 24719 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/14 02:03:02.684, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7972 MiB, 24538 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/14 02:03:02.686, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7972 MiB, 24538 MiB
2022/05/14 02:03:02.685, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7791 MiB, 24719 MiB
2022/05/14 02:03:02.686, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/05/14 02:03:02.687, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7791 MiB, 24719 MiB
2022/05/14 02:03:02.687, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/05/14 02:03:02.691, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/14 02:03:02.690, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7791 MiB, 24719 MiB
2022/05/14 02:03:02.692, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/14 02:03:02.692, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/05/14 02:03:02.692, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7791 MiB, 24719 MiB
2022/05/14 02:03:02.693, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7972 MiB, 24538 MiB
2022/05/14 02:03:02.694, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/05/14 02:03:02.694, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7972 MiB, 24538 MiB
2022/05/14 02:03:02.699, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/05/14 02:03:02.699, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/05/14 02:03:02.701, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/05/14 02:03:02.701, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7972 MiB, 24538 MiB
2022/05/14 02:03:02.701, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB
2022/05/14 02:03:02.701, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 63 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/14 02:03:02.703, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7972 MiB, 24538 MiB
2022/05/14 02:03:02.703, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 63 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/14 02:03:02.707, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7816 MiB, 24694 MiB
2022/05/14 02:03:02.708, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7972 MiB, 24538 MiB
2022/05/14 02:03:02.709, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 63 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/14 02:03:02.709, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7816 MiB, 24694 MiB
2022/05/14 02:03:02.710, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7972 MiB, 24538 MiB
2022/05/14 02:03:02.710, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/05/14 02:03:02.711, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 63 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/14 02:03:02.711, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/05/14 02:03:02.716, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7664 MiB, 24846 MiB
2022/05/14 02:03:02.716, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 63 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/14 02:03:02.717, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/05/14 02:03:02.718, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7664 MiB, 24846 MiB
2022/05/14 02:03:02.718, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 63 %, 32510 MiB, 7892 MiB, 24618 MiB
2022/05/14 02:03:02.718, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7816 MiB, 24694 MiB
2022/05/14 02:03:02.719, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/05/14 02:03:02.720, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7816 MiB, 24694 MiB
2022/05/14 02:03:02.724, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/05/14 02:03:02.724, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/05/14 02:03:02.725, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7816 MiB, 24694 MiB
2022/05/14 02:03:02.725, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/05/14 02:03:02.726, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7904 MiB, 24606 MiB
2022/05/14 02:03:02.726, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7664 MiB, 24846 MiB
2022/05/14 02:03:02.727, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7816 MiB, 24694 MiB
2022/05/14 02:03:02.727, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7664 MiB, 24846 MiB
2022/05/14 02:03:02.731, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7816 MiB, 24694 MiB
2022/05/14 02:03:02.732, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7664 MiB, 24846 MiB
2022/05/14 02:03:02.733, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7816 MiB, 24694 MiB
2022/05/14 02:03:02.733, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/05/14 02:03:02.734, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7664 MiB, 24846 MiB
2022/05/14 02:03:02.735, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/05/14 02:03:02.738, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7664 MiB, 24846 MiB
2022/05/14 02:03:02.739, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/05/14 02:03:02.739, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7664 MiB, 24846 MiB
2022/05/14 02:03:02.741, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/05/14 02:03:02.745, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7814 MiB, 24696 MiB
2022/05/14 02:03:02.746, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7814 MiB, 24696 MiB
[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86707, top1: 0.00107, throughput: 1341.20 | 2022-05-14 02:03:40.609
[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86731, top1: 0.00078, throughput: 1341.17 | 2022-05-14 02:03:40.610
[rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86709, top1: 0.00086, throughput: 1341.30 | 2022-05-14 02:03:40.609[rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86721, top1: 0.00084, throughput: 1341.18
 | 2022-05-14 02:03:40.610
[rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86714, top1: 0.00100, throughput: 1341.18 | 2022-05-14 02:03:40.609
[rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86695, top1: 0.00109, throughput: 1341.18 | 2022-05-14 02:03:40.610
[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86713, top1: 0.00084, throughput: 1341.10 | 2022-05-14 02:03:40.612
[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86703, top1: 0.00113, throughput: 1341.16 | 2022-05-14 02:03:40.611
[rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86736, top1: 0.00074, throughput: 1376.32 | 2022-05-14 02:04:17.809
[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86710, top1: 0.00123, throughput: 1376.34 | 2022-05-14 02:04:17.810
[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86713, top1: 0.00115, throughput: 1376.34 | 2022-05-14 02:04:17.810
[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86694, top1: 0.00088, throughput: 1376.36 | 2022-05-14 02:04:17.811
[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86707, top1: 0.00127, throughput: 1376.27 | 2022-05-14 02:04:17.812
[rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86719, top1: 0.00107, throughput: 1376.32 | 2022-05-14 02:04:17.810
[rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86724, top1: 0.00074, throughput: 1376.42 | 2022-05-14 02:04:17.810
[rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86701, top1: 0.00113, throughput: 1376.29 | 2022-05-14 02:04:17.810